[英]Something similar to relplot and displot for plotting boxplot with Seaborn
In Seaborn relplot and displot , there are setting called col_wrap
that enable multiple axes arrayed in a grid of rows and columns that correspond to levels of variable.在 Seaborn relplot和displot中,有一个名为
col_wrap
的设置,可以启用多个轴排列在对应于变量级别的行和列的网格中。
While the relplot
having the option to plot
scatter
and line
, the displot
have the option to plot hist
, kde
, ecdf
.虽然
relplot
可以选择plot
scatter
和line
,但displot
可以选择 plot hist
, kde
, ecdf
。
Currently, I have to rely on the following code to plot grid of rows and columns that correspond to levels of variable目前,我必须依赖以下代码来 plot 网格对应于变量级别的行和列
import matplotlib.pyplot as plt
import seaborn as sns
sns.set(style="ticks")
tips = sns.load_dataset("tips")
plt.figure(figsize=(15,10))
variables=['Lunch','Dinner']
for i, c in enumerate(variables, 1):
filter_ch = tips ["time"].isin ( [c] )
dv = tips [filter_ch].reset_index ( drop=True )
plt.subplot(2,1,i)
g = sns.boxplot(x='sex', y="total_bill",hue='day',data=dv)
plt.show()
I have search the net for something similar to relplot
and displot
for plotting boxplot
, but to no avail.我已经在网上搜索类似于
relplot
和displot
的东西来绘制boxplot
,但无济于事。 Should such approach exist, really appreciate if someone can direct me to the appropriate material.如果存在这种方法,如果有人可以指导我找到适当的材料,我将不胜感激。
Also, is there more compact and proper way than using the above proposed code since in actual practice, the variables
will be more than two?此外,是否有比使用上述建议的代码更紧凑和更合适的方法,因为在实际实践中,
variables
将超过两个?
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